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dc.provenanceFacultad de Ciencias Exactas y Naturales de la UBA-
dc.contributorGarcia Eijo, J.F.-
dc.contributorRisk, M.-
dc.contributorCastrillo, F.P.-
dc.contributorOrtega, C.S.-
dc.contributorFernandez, M.B.-
dc.contributorDiaz, A.P.-
dc.contributorDel Solar, M.R.-
dc.contributorPollan, R.R.-
dc.creatorGarcia Eijo, J.F.-
dc.creatorRisk, M.-
dc.creatorCastrillo, F.P.-
dc.creatorOrtega, C.S.-
dc.creatorFernandez, M.B.-
dc.creatorDiaz, A.P.-
dc.creatorDel Solar, M.R.-
dc.creatorPollan, R.R.-
dc.date.accessioned2018-05-04T22:06:02Z-
dc.date.accessioned2018-05-28T15:48:49Z-
dc.date.available2018-05-04T22:06:02Z-
dc.date.available2018-05-28T15:48:49Z-
dc.date.issued2011-
dc.identifier.urihttp://10.0.0.11:8080/jspui/handle/bnmm/68565-
dc.descriptionThe present paper describes the development of the CardioGRID framework into the GRID infrastructure. The core GRID services; Workload Management System (WMS), Data Management System and Grid Authentication have been implemented. Additionally, a web-based tool -the CardioGRID portal- has been developed to facilitate the user interaction with the GRID. As a result, the user is able to process the electrocardiogram (ECG) signals obtained form a portable data acquisition device and to process it on the GRID. Once the CardioGRID portal is prompted and the user identity is verified through a digital X.509 certificate, the operator may either upload new raw ECG data to the GRID Storage Elements or use already stored data. Then, subsequent analytics from these data are performed as GRID jobs and relevant medical quantities are derived through middle-ware job retrieval mechanism. In summary in this paper was described the development of a medical GRID based system, and its integration to an existing platform for Digital Repositories Infrastructure.-
dc.formatapplication/pdf-
dc.languageeng-
dc.rightsinfo:eu-repo/semantics/openAccess-
dc.rightshttp://creativecommons.org/licenses/by/2.5/ar-
dc.sourceJ. Phys. Conf. Ser. 2011;313(1)-
dc.source.urihttp://digital.bl.fcen.uba.ar/Download/paper/paper_17426588_v313_n1_p_GarciaEijo.pdf-
dc.subjectData management system-
dc.subjectData-acquisition devices-
dc.subjectDigital repository-
dc.subjectECG data-
dc.subjectElectrocardiogram signal-
dc.subjectGrid infrastructures-
dc.subjectGrid services-
dc.subjectGrid Storage-
dc.subjectGrid-based system-
dc.subjectUser identity-
dc.subjectUser interaction-
dc.subjectWeb-based tools-
dc.subjectWorkload management-
dc.subjectX.509 certificates-
dc.subjectBiomedical engineering-
dc.subjectElectrocardiography-
dc.subjectInformation management-
dc.subjectGrid computing-
dc.titleCardioGRID: A framework for the analysis of cardiological signals in GRID computing-
dc.typeinfo:eu-repo/semantics/article-
dc.typeinfo:ar-repo/semantics/artículo-
dc.typeinfo:eu-repo/semantics/publishedVersion-
Aparece en las colecciones: FCEN - Facultad de Ciencias Exactas y Naturales. UBA

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